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Evidence-backed sales signals

Spot the buying signals. Know which accounts are ready to buy.

Kaiju combines your Ideal Customer Profile with sales signals across technology, hiring, leadership, funding, and company events. When a relevant change appears, see the account, why it matters, who matters, and the evidence behind it.

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Q3 target accounts

258 accounts · fit, signals, filters, and evidence kept distinct

Account intelligence228 websites ready · 37 contacts verifiedChecking technology
64 Adobe Commerce41 Drupal52 Shopify Plus30 websites missing
6 example accounts match the current filters
6 example rows25 rows per page

The sales problem

Your account list keeps growing. Your team’s time doesn’t.

A hiring push, new leader, technology change, funding event, or other trigger can make an account worth another look. These signals are easy to miss across the web, CRM, and research tools.

  1. 01

    Good accounts blend into the list.

    Fit shows who belongs. Signals show which accounts became more relevant this week.

  2. 02

    Important changes happen between CRM updates.

    Leadership, hiring, technology, funding, and other changes can appear before anyone updates the CRM.

  3. 03

    Research takes time, and useful proof gets lost.

    Reps chase context across tabs. Research depth varies, and the source behind a useful signal gets lost.

What changes for sales

Open the list and know where to start.

Relevant changes stand out with enough context to decide whether the account deserves a closer look.

A good-fit account with a reason to look now

A qualified account becomes more timely when a relevant condition changes.

Know what happened and why it matters

See the signal, date, relevance to what you sell, and people involved.

See the proof before outreach

Trace the conclusion back to its sources before outreach.

How Kaiju works

Tell Kaiju what matters. It keeps watch.

Start from your CRM, a CSV, existing customers, or what you sell. Kaiju helps refine the ICP and watches for relevant Signals.

  1. 01

    Tell Kaiju what you sell

    Add your offer, ICP, and the changes that would make an account worth another look.

  2. 02

    Kaiju watches for the changes you care about

    Kaiju watches supported evidence. When a condition becomes true, it records the signal with its date and proof.

  3. 03

    The right accounts move into view

    Use Filters and Dynamic Lists to keep the right accounts current as signals change and a Buying Window opens.

Signals Kaiju can watch

Watch the changes that can move an account up your list.

The signals that matter depend on what you sell. Kaiju keeps the underlying evidence attached to each detected change.

01

Technology

A platform is installed, removed, or replaced

Spot migrations, modernization work, expansion, or a new competitive opening.

02

People

A relevant leader joins or a buying group changes

See changes in ownership, priorities, or the people your team should understand.

03

Hiring

A team starts growing

See where a company is investing and which teams are gaining weight.

04

Company activity

Funding, expansion, acquisitions, and other company events

Use dated funding, expansion, acquisition, and other company events when they affect the problem you solve.

How Kaiju keeps the list current

The answer changes when the evidence changes.

Fit tells you who belongs. Signals show what changed. A Buying Window captures when current evidence makes an account worth a closer look. Filters and Dynamic Lists keep the matches current; Priority tells the team where to look first.

Fit

Who belongs in the market you care about?

Signals

What changed that makes an account worth another look?

Dynamic Lists

Which accounts match your rules right now?

Priority

Which matching accounts should the team inspect first?

Proof behind the signal

Keep the evidence attached to the signal.

See the source, date, supporting observations, and what remains unknown before acting on a conclusion.

  • Open the sources and observations behind a fact or signal
  • See when the event happened and when Kaiju observed it
  • Keep freshness, coverage, conflicts, and unknowns visible
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Researched account profile

Alder & Finch Retail matches the current target criteria based on observed technology, technical findings, recent public changes, and people context. The evidence supports deeper review; it does not prove budget or an active buying project.

TechnologyAdobe CommerceObserved on public site
SignalCommerce team expansionTrigger · Hiring acceleration observed 9d ago
Relevant personMaya ChenVP, Digital Experience
Buying WindowPossibleStrong fit + recent hiring signal
The findings show what Kaiju observed. They do not establish budget, dissatisfaction, an active project, or readiness to change.
FitStrong fitICP + supported account facts
SignalCommerce team expansionTrigger · Hiring acceleration observed 9d ago
Evidence4 accessibility issues recurObserved condition; inspect before acting
RelationshipNo prior outreachInteraction memory
Talking pointsStart here, then open proof only when needed.3 evidence-backed items

CRM + Kaiju

Your CRM adds the signals the public web cannot see.

CRM activity can add first-party evidence the public web cannot see. Twenty is the first CRM integration in development.

Available now

Available

Start with the accounts you already know

Keep the IDs and fields your team already uses while Kaiju adds research and evidence.

Priority integration

In development

Twenty brings first-party sales activity into the picture

Opportunity changes, stakeholders, notes, and activity can support Intent, Mobilization, and Progression signals.

Target model

Target

Send the context back to the workflow

Send reviewed accounts and evidence to CRM, CSV Exports, or Webhooks.

Questions before you start

What teams usually want to know.

What is a signal in Kaiju?

A signal is a dated, evidence-backed result that says a relevant change happened at an account: a technology change, hiring acceleration, leadership move, buyer engagement, opportunity progression, or another supported event.

How does Kaiju know which signals matter to us?

Tell Kaiju what you sell, who fits, and which changes matter. Kaiju uses that context to interpret the evidence it observes.

Does a signal mean the company is ready to buy?

No. A signal can justify attention without proving budget, an active buying project, dissatisfaction, or vendor choice.

What is a Dynamic List?

A Dynamic List keeps the accounts that currently match saved criteria. Membership updates as fit, facts, and signals change.

How do we know why an account was surfaced?

Open the account to see fit, signals, people, dates, sources, supporting observations, and unresolved evidence.

Start with your market

Find the accounts worth your team’s time.

Bring accounts you know or start from your ICP. See what changed, why it matters, who matters, and the proof.

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